IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i6p2138-d336010.html
   My bibliography  Save this article

A Stochastic Multi-Attribute Method for Measuring Sustainability Performance of a Supplier Based on a Triple Bottom Line Approach in a Dual Hesitant Fuzzy Linguistic Environment

Author

Listed:
  • Guohua Qu

    (School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Rudan Xue

    (School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Tianjiao Li

    (School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Weihua Qu

    (Institute of Management and Decision, Shanxi University, Taiyuan 030006, China
    School of Economics and Management, Shanxi University, Taiyuan 030006, China)

  • Zeshui Xu

    (Business School, Sichuan University, Chengdu 610064, China)

Abstract

China is a developing country and with the speeding up of its industrialization, the environmental problems are becoming more serious, environmental pollution is a major environmental health problem in China. In order to have a more effective management and control of the significant growth issues of environment pollution, green supply chain incentives have started, which is kind of market incentive aiming to moderate the adverse effects of environmental pollution. Proper green chain supply selection and evaluation of companies is becoming very essential in sustainable green supply chain management. Generally speaking, decision-makers (DMs) prefer to provide a set of feasible and quantitative information for making performance evaluation, which motivates us to propose a framework using dual hesitant fuzzy linguistic term set (DHFLTS) and hesitant fuzzy linguistic term set (HFLTS) to select green suppliers. In this paper, group satisfaction and the regret theory are adopted for elicitation of preference information. The DHFLTS and HFLTS provide qualitative preferences of the DMs as well as reflect their hesitancy, inconsistency, and vagueness. Further, two new group satisfaction degrees are defined called the group satisfaction of hesitant fuzzy linguistic term set and dual hesitant fuzzy linguistic term set. Some properties of group satisfaction with DHFLST and HFL are also discussed. Unknown attribute weights are obtained to construct a novel Lagrange function optimization model to maximize the group satisfaction degree, which is an extension of general group satisfaction degree. A novel methodological approach based on two group satisfaction degrees framework and regret theory is developed to rank and select green chain suppliers focusing on specific selection objectives. The proposed model and method of this paper allow the DM to execute different fuzzy scenarios by changing importance weights attached to the triple-bottom-line areas. In the final part, the advantage of the proposed group satisfaction degree under DHFL and HFL background over the existing group satisfaction degree using examples have been presented with different computational combinations.

Suggested Citation

  • Guohua Qu & Rudan Xue & Tianjiao Li & Weihua Qu & Zeshui Xu, 2020. "A Stochastic Multi-Attribute Method for Measuring Sustainability Performance of a Supplier Based on a Triple Bottom Line Approach in a Dual Hesitant Fuzzy Linguistic Environment," IJERPH, MDPI, vol. 17(6), pages 1-26, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:2138-:d:336010
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/6/2138/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/6/2138/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. B. Ageron & A. Gunasekaran & A. Spalanzani, 2012. "Sustainable supply management : an empirical study," Post-Print halshs-00740499, HAL.
    2. Baudry, Gino & Macharis, Cathy & Vallée, Thomas, 2018. "Range-based Multi-Actor Multi-Criteria Analysis: A combined method of Multi-Actor Multi-Criteria Analysis and Monte Carlo simulation to support participatory decision making under uncertainty," European Journal of Operational Research, Elsevier, vol. 264(1), pages 257-269.
    3. Sarkis, Joseph & Dhavale, Dileep G., 2015. "Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework," International Journal of Production Economics, Elsevier, vol. 166(C), pages 177-191.
    4. Rupert J. Baumgartner, 2014. "Managing Corporate Sustainability and CSR: A Conceptual Framework Combining Values, Strategies and Instruments Contributing to Sustainable Development," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 21(5), pages 258-271, September.
    5. Kannan, Devika & Jabbour, Ana Beatriz Lopes de Sousa & Jabbour, Charbel José Chiappetta, 2014. "Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company," European Journal of Operational Research, Elsevier, vol. 233(2), pages 432-447.
    6. Bin Zhu & Zeshui Xu & Meimei Xia, 2012. "Dual Hesitant Fuzzy Sets," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-13, May.
    7. Kannan, Govindan & Pokharel, Shaligram & Sasi Kumar, P., 2009. "A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider," Resources, Conservation & Recycling, Elsevier, vol. 54(1), pages 28-36.
    8. Huchang Liao & Guangsen Si & Zeshui Xu & Hamido Fujita, 2018. "Hesitant Fuzzy Linguistic Preference Utility Set and Its Application in Selection of Fire Rescue Plans," IJERPH, MDPI, vol. 15(4), pages 1-18, April.
    9. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    10. Ageron, Blandine & Gunasekaran, Angappa & Spalanzani, Alain, 2012. "Sustainable supply management: An empirical study," International Journal of Production Economics, Elsevier, vol. 140(1), pages 168-182.
    11. Eltayeb, Tarig K. & Zailani, Suhaiza & Ramayah, T., 2011. "Green supply chain initiatives among certified companies in Malaysia and environmental sustainability: Investigating the outcomes," Resources, Conservation & Recycling, Elsevier, vol. 55(5), pages 495-506.
    12. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    13. Lee, Ki-Hoon & Wu, Yong, 2014. "Integrating sustainability performance measurement into logistics and supply networks: A multi-methodological approach," The British Accounting Review, Elsevier, vol. 46(4), pages 361-378.
    14. Giannakis, Mihalis & Papadopoulos, Thanos, 2016. "Supply chain sustainability: A risk management approach," International Journal of Production Economics, Elsevier, vol. 171(P4), pages 455-470.
    15. Vachon, Stephan & Klassen, Robert D., 2008. "Environmental management and manufacturing performance: The role of collaboration in the supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 299-315, February.
    16. Awasthi, Anjali & Chauhan, Satyaveer S. & Goyal, S.K., 2010. "A fuzzy multicriteria approach for evaluating environmental performance of suppliers," International Journal of Production Economics, Elsevier, vol. 126(2), pages 370-378, August.
    17. Julia Wolf, 2014. "The Relationship Between Sustainable Supply Chain Management, Stakeholder Pressure and Corporate Sustainability Performance," Journal of Business Ethics, Springer, vol. 119(3), pages 317-328, February.
    18. Huchang Liao & Di Wu & Yulong Huang & Peijia Ren & Zeshui Xu & Mohit Verma, 2018. "Green Logistic Provider Selection with a Hesitant Fuzzy Linguistic Thermodynamic Method Integrating Cumulative Prospect Theory and PROMETHEE," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    19. Wu, Shou-Tsung & Chen, Yeong-Shyang, 2015. "The social, economic, and environmental impacts of casino gambling on the residents of Macau and Singapore," Tourism Management, Elsevier, vol. 48(C), pages 285-298.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hao Xu & Liuxin Chen & Qiongfang Li & Jianchao Yang, 2021. "A Multi-Attribute Decision Method under Uncertainty Environment Conditions—The Green Supplier Evaluation Perspective," IJERPH, MDPI, vol. 18(1), pages 1-15, January.
    2. Francisco Rodrigues Lima-Junior & Mery Ellen Brandt de Oliveira & Carlos Henrique Lopes Resende, 2023. "An Overview of Applications of Hesitant Fuzzy Linguistic Term Sets in Supply Chain Management: The State of the Art and Future Directions," Mathematics, MDPI, vol. 11(13), pages 1-40, June.
    3. Zaoli Yang & Xin Li & Harish Garg & Meng Qi, 2020. "Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment," IJERPH, MDPI, vol. 17(10), pages 1-27, May.
    4. Zhang, Junpeng & Pang, Deliang & Yang, Leijing & Ouyang, Wenjun, 2023. "Risk and synergy of multinational enterprise mergers and acquisitions under the background of the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 718-729.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dongwook Kim & Sungbum Kim, 2017. "Sustainable Supply Chain Based on News Articles and Sustainability Reports: Text Mining with Leximancer and DICTION," Sustainability, MDPI, vol. 9(6), pages 1-44, June.
    2. Govindan, K. & Muduli, K. & Devika, K. & Barve, A., 2016. "Investigation of the influential strength of factors on adoption of green supply chain management practices: An Indian mining scenario," Resources, Conservation & Recycling, Elsevier, vol. 107(C), pages 185-194.
    3. Bikram Jit Singh Mann & Harmeet Kaur, 2020. "Sustainable Supply Chain Activities and Financial Performance: An Indian Experience," Vision, , vol. 24(1), pages 60-69, March.
    4. Guohua Qu & Zhijie Zhang & Weihua Qu & Zeshui Xu, 2020. "Green Supplier Selection Based on Green Practices Evaluated Using Fuzzy Approaches of TOPSIS and ELECTRE with a Case Study in a Chinese Internet Company," IJERPH, MDPI, vol. 17(9), pages 1-32, May.
    5. Zhifeng Wu & Senjing Zhai & Jiangtao Hong & Yibin Zhang & Keren Shi, 2018. "Building Sustainable Supply Chains for Organizations Based on QFD: A Case Study," IJERPH, MDPI, vol. 15(12), pages 1-12, December.
    6. Chand, Pushpendu & Thakkar, Jitesh J. & Ghosh, Kunal Kanti, 2020. "Analysis of supply chain sustainability with supply chain complexity, inter-relationship study using delphi and interpretive structural modeling for Indian mining and earthmoving machinery industry," Resources Policy, Elsevier, vol. 68(C).
    7. Jiuping Xu & Xianglan Jiang & Zhibin Wu, 2016. "A Sustainable Performance Assessment Framework for Plastic Film Supply Chain Management from a Chinese Perspective," Sustainability, MDPI, vol. 8(10), pages 1-23, October.
    8. Luthra, Sunil & Garg, Dixit & Haleem, Abid, 2015. "An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective," Resources Policy, Elsevier, vol. 46(P1), pages 37-50.
    9. Laura Macchion & Antonio Cavallin Toscani & Andrea Vinelli, 2023. "Sustainable business models of small and medium‐sized enterprises and the relationships to be established within the supply chain to support these models," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(2), pages 563-573, March.
    10. Rodríguez-Espíndola, Oscar & Cuevas-Romo, Ana & Chowdhury, Soumyadeb & Díaz-Acevedo, Natalie & Albores, Pavel & Despoudi, Stella & Malesios, Chrisovalantis & Dey, Prasanta, 2022. "The role of circular economy principles and sustainable-oriented innovation to enhance social, economic and environmental performance: Evidence from Mexican SMEs," International Journal of Production Economics, Elsevier, vol. 248(C).
    11. Farheen Naz & Rohit Agrawal & Anil Kumar & Angappa Gunasekaran & Abhijit Majumdar & Sunil Luthra, 2022. "Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2400-2423, July.
    12. Wenwen Zhu & Zhiqiang Wang, 2018. "The Collaborative Networks and Thematic Trends of Research on Purchasing and Supply Management for Environmental Sustainability: A Bibliometric Review," Sustainability, MDPI, vol. 10(5), pages 1-28, May.
    13. Ozden Tozanli & Gazi Murat Duman & Elif Kongar & Surendra M. Gupta, 2017. "Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey," Logistics, MDPI, vol. 1(1), pages 1-42, June.
    14. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
    15. Samuel Adomako, 2020. "Environmental collaboration, sustainable innovation, and small and medium‐sized enterprise growth in sub‐Saharan Africa: Evidence from Ghana," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(6), pages 1609-1619, November.
    16. Yong Liu & Wenwen Ren & Qian Xu & Zhi-yang Liu, 2022. "Decision analysis of supply chains considering corporate social responsibility and government subsidy under different channel power structures," Annals of Operations Research, Springer, vol. 315(2), pages 1841-1869, August.
    17. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Luo, Zongwei & Wamba, Samuel Fosso & Roubaud, David, 2019. "Can big data and predictive analytics improve social and environmental sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 534-545.
    18. Li, Qian & Xue, Qiuzhi & Truong, Yann & Xiong, Jie, 2018. "MNCs' industrial linkages and environmental spillovers in emerging economies: The case of China," International Journal of Production Economics, Elsevier, vol. 196(C), pages 346-355.
    19. Mohammad Izadikhah & Reza Farzipoor Saen & Razieh Roostaee, 2018. "How to assess sustainability of suppliers in the presence of volume discount and negative data in data envelopment analysis?," Annals of Operations Research, Springer, vol. 269(1), pages 241-267, October.
    20. Woo, Donghyup & Suresh, Nallan C., 2022. "Voluntary agreements for sustainability, resource efficiency & firm performance under the supply chain cooperation policy in South Korea," International Journal of Production Economics, Elsevier, vol. 252(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:2138-:d:336010. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.